
"""simple docstring"""






import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
UpperCAmelCase        =				"""src/diffusers"""

# Matches is_xxx_available()
UpperCAmelCase        =				re.compile(r"""is\_([a-z_]*)_available\(\)""")
# Matches from xxx import bla
UpperCAmelCase        =				re.compile(r"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")


UpperCAmelCase        =				"""
{0} = None
"""

UpperCAmelCase        =				"""
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
"""


UpperCAmelCase        =				"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""




def __magic_name__	(				_lowerCamelCase:		Union[str, Any]			)					->						List[str]:

	'''simple docstring'''




	lowerCAmelCase												=  _re_backend.findall(_lowerCamelCase			)
	if len(_lowerCamelCase			) == 0:
		return None

	return "_and_".join(_lowerCamelCase			)




def __magic_name__	(				)					->						Optional[int]:

	'''simple docstring'''




	with open(os.path.join(_lowerCamelCase,					'''__init__.py'''			),					'''r''',					encoding='''utf-8''',					newline='''\n'''			) as f:
		lowerCAmelCase												=  f.readlines()

	# Get to the point we do the actual imports for type checking
	lowerCAmelCase												=  0
	lowerCAmelCase												=  {}
	# Go through the end of the file
	while line_index < len(_lowerCamelCase			):
		# If the line contains is_backend_available, we grab all objects associated with the `else` block
		lowerCAmelCase												=  find_backend(lines[line_index]			)
		if backend is not None:
			while not lines[line_index].startswith('''else:'''			):
				line_index += 1
			line_index += 1
			lowerCAmelCase												=  []
			# Until we unindent, add backend objects to the list
			while line_index < len(_lowerCamelCase			) and len(lines[line_index]			) > 1:
				lowerCAmelCase												=  lines[line_index]
				lowerCAmelCase												=  _re_single_line_import.search(_lowerCamelCase			)
				if single_line_import_search is not None:
					objects.extend(single_line_import_search.groups()[0].split(''', '''			)			)
				elif line.startswith(''' ''' * 8			):
					objects.append(line[8:-2]			)
				line_index += 1

			if len(_lowerCamelCase			) > 0:
				lowerCAmelCase												=  objects
		else:
			line_index += 1

	return backend_specific_objects




def __magic_name__	(				_lowerCamelCase:		Any,					_lowerCamelCase:		int			)					->						Dict:

	'''simple docstring'''




	if name.isupper():
		return DUMMY_CONSTANT.format(_lowerCamelCase			)
	elif name.islower():
		return DUMMY_FUNCTION.format(_lowerCamelCase,					_lowerCamelCase			)
	else:
		return DUMMY_CLASS.format(_lowerCamelCase,					_lowerCamelCase			)




def __magic_name__	(				_lowerCamelCase:		List[Any]=None			)					->						Optional[int]:

	'''simple docstring'''




	if backend_specific_objects is None:
		lowerCAmelCase												=  read_init()
	# For special correspondence backend to module name as used in the function requires_modulename
	lowerCAmelCase												=  {}

	for backend, objects in backend_specific_objects.items():
		lowerCAmelCase												=  '''[''' + ''', '''.join(F"""\"{b}\"""" for b in backend.split('''_and_'''			)			) + ''']'''
		lowerCAmelCase												=  '''# This file is autogenerated by the command `make fix-copies`, do not edit.\n'''
		dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
		dummy_file += "\n".join([create_dummy_object(_lowerCamelCase,					_lowerCamelCase			) for o in objects]			)
		lowerCAmelCase												=  dummy_file

	return dummy_files




def __magic_name__	(				_lowerCamelCase:		Union[str, Any]=False			)					->						Tuple:

	'''simple docstring'''




	lowerCAmelCase												=  create_dummy_files()
	# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
	lowerCAmelCase												=  {'''torch''': '''pt'''}

	# Locate actual dummy modules and read their content.
	lowerCAmelCase												=  os.path.join(_lowerCamelCase,					'''utils'''			)
	lowerCAmelCase												=  {
	    backend: os.path.join(_lowerCamelCase,					F"""dummy_{short_names.get(_lowerCamelCase,					_lowerCamelCase			)}_objects.py"""			)
	    for backend in dummy_files.keys()
	}

	lowerCAmelCase												=  {}
	for backend, file_path in dummy_file_paths.items():
		if os.path.isfile(_lowerCamelCase			):
			with open(_lowerCamelCase,					'''r''',					encoding='''utf-8''',					newline='''\n'''			) as f:
				lowerCAmelCase												=  f.read()
		else:
			lowerCAmelCase												=  ''''''

	for backend in dummy_files.keys():
		if dummy_files[backend] != actual_dummies[backend]:
			if overwrite:
				print(
				    F"""Updating diffusers.utils.dummy_{short_names.get(_lowerCamelCase,					_lowerCamelCase			)}_objects.py as the main """
				    '''__init__ has new objects.'''			)
				with open(dummy_file_paths[backend],					'''w''',					encoding='''utf-8''',					newline='''\n'''			) as f:
					f.write(dummy_files[backend]			)
			else:
				raise ValueError(
				    '''The main __init__ has objects that are not present in '''
				    F"""diffusers.utils.dummy_{short_names.get(_lowerCamelCase,					_lowerCamelCase			)}_objects.py. Run `make fix-copies` """
				    '''to fix this.'''			)


if __name__ == "__main__":
					UpperCAmelCase        =				argparse.ArgumentParser()
					parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
					UpperCAmelCase        =				parser.parse_args()

					check_dummies(args.fix_and_overwrite)




"""simple docstring"""






import tempfile
import unittest

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.testing_utils import (
    is_torch_available,
    require_optimum,
    require_torch,
    slow,
)


if is_torch_available():
					import torch



@require_torch
@require_optimum
@slow
class 			lowercase					( unittest.TestCase		):






			def 					UpperCAmelCase							(self  :	Tuple			)       ->	Optional[int]:





				"""simple docstring"""


				lowerCAmelCase												=  '''hf-internal-testing/tiny-random-t5'''
				lowerCAmelCase												=  AutoTokenizer.from_pretrained(SCREAMING_SNAKE_CASE_			)
				lowerCAmelCase												=  AutoModelForSeqaSeqLM.from_pretrained(SCREAMING_SNAKE_CASE_			)

				lowerCAmelCase												=  tokenizer('''This is me'''      ,return_tensors='''pt'''			)

				lowerCAmelCase												=  model.to_bettertransformer()

				self.assertTrue(any('''BetterTransformer''' in mod.__class__.__name__ for _, mod in model.named_modules()			)			)

				lowerCAmelCase												=  model.generate(**SCREAMING_SNAKE_CASE_			)

				lowerCAmelCase												=  model.reverse_bettertransformer()

				self.assertFalse(any('''BetterTransformer''' in mod.__class__.__name__ for _, mod in model.named_modules()			)			)

				with tempfile.TemporaryDirectory() as tmpdirname:
					model.save_pretrained(SCREAMING_SNAKE_CASE_			)

					lowerCAmelCase												=  AutoModelForSeqaSeqLM.from_pretrained(SCREAMING_SNAKE_CASE_			)

					self.assertFalse(
					    any('''BetterTransformer''' in mod.__class__.__name__ for _, mod in model_reloaded.named_modules()			)			)

					lowerCAmelCase												=  model_reloaded.generate(**SCREAMING_SNAKE_CASE_			)
					self.assertTrue(torch.allclose(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)			)






			def 					UpperCAmelCase							(self  :	str			)       ->	Tuple:





				"""simple docstring"""


				lowerCAmelCase												=  '''hf-internal-testing/tiny-random-t5'''
				lowerCAmelCase												=  AutoModelForSeqaSeqLM.from_pretrained(SCREAMING_SNAKE_CASE_			)

				lowerCAmelCase												=  model.to_bettertransformer()

				with tempfile.TemporaryDirectory() as tmpdirname:
					with self.assertRaises(SCREAMING_SNAKE_CASE_			):
						model.save_pretrained(SCREAMING_SNAKE_CASE_			)

					lowerCAmelCase												=  model.reverse_bettertransformer()
					model.save_pretrained(SCREAMING_SNAKE_CASE_			)


